IBM Refreshes its Storage for Multi-Cloud

IBM has refreshed almost its entire storage offerings virtually end to end; storage services to infrastructure and cloud to storage hardware, especially flash, to management. The announcement Oct. 23, covers wide array of storage products.

IBM Spectrum Discover

Among the most interesting of the announcements was IBM Spectrum Discover. The product automatically enhances and then leverages metadata to augment discovery capabilities. It pulls data insight from unstructured data for analytics, governance and optimization to improve and accelerate large-scale analytics, improve data governance, and enhance storage economics. At a time when data is growing at 30 percent per year finding the right data fast for analytics and AI can be slow and tedious. IBM Spectrum Discover rapidly ingests, consolidates, and indexes metadata for billions of files and objects from your data, enabling you to more easily gain insights from such massive amounts of unstructured data.

As important as Spectrum Discover is NVMe may attract more attention, in large part due to the proliferation of flash storage and the insatiable demand for increasingly faster performance. NVMe (non-volatile memory express) is the latest host controller interface and storage protocol created to accelerate the transfer of data between enterprise and client systems and solid-state drives (SSDs) over a computer’s high-speed Peripheral Component Interconnect Express (PCIe) bus.

According to IBM, NVMe addresses one of the hottest segments of the storage market, This is being driven by new solutions that, as IBM puts in, span the lifecycle of data from creation to archive.

Specifically, it is fueling major expansion of lower latency and higher throughput for NVMe fabric support across our storage portfolio. IBM’s primary NVMe products introduced include:

  • New NVMe-based Storwize V7000 Gen3
  • NVMe over Fibre Channel across the flash portfolio
  • NVMe over Ethernet across the flash portfolio in 2019
  • IBM Cloud Object Storage to support in 2019

The last two are an IBM statement of direction, which is IBM’s way of saying it may or may not happen when or as expected.

Ironically, the economics of flash has dramatically reversed itself. Flash storage reduces cost as well as boosts performance. Until not too recently, flash was considered too costly for usual storage needs, something to be used selectively only when the cost justified its use due to the increased performance or efficiency. Thank you Moore’s Law and the economics of mass scale.

Maybe of greater interest to DancingDinosaur readers managing mainframe data centers is the improvements to the DS8000 storage lineup. The IBM DS8880F is designed to deliver extreme performance, uncompromised availability, and deep integration with IBM Z through flash. The IBM DS8880F is designed to deliver extreme performance, uncompromised availability, and deep integration with IBM Z. It remains the primary storage system supporting mainframe-based IT infrastructure. Furthermore, the new custom flash provides up to double maximum flash capacity in the same footprint.  An update to the zHyperLink solution also speeds application performance by significantly reducing both write and read latency.

Designed to provide top performance for mission-critical applications, DS8880F is based on the same fundamental system architecture as IBM Watson. DS8880F, explains IBM, forms the three-tiered architecture that balances system resources for optimal throughput.

In addition, the DS8880F offers:

  • Up to 2x maximum flash capacity
  • New 15.36TB custom flash
  • Up to 8 PB of physical capacity in the same physical space
  • Improved performance for zHyperLink connectivity
  • 2X lower write latency than High Performance FICON
  • 10X lower read latency

And, included in the next generation of High-Performance Flash Enclosures (HPFE Gen2). The DS8880F family also delivers extremely low application response times, which can accelerate core transaction processes while expanding business operations into nextgen applications using AI to extract value from data. (See above, Spectrum Discover).

DancingDinosaur is Alan Radding, a veteran information technology analyst, writer, and ghost-writer. Follow DancingDinosaur on Twitter, @mainframeblog, and see more of his work at

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